Hi! I'm Charlotte. I'm a fifth year PhD student in Computer Science Theory at Stanford University, advised by Omer Reingold. I am honored to have my research supported by the 2024 Apple Scholars in AIML Fellowship, and I spent the summers of 2024 and 2025 interning at Apple under the mentorship of Parikshit Gopalan, Aravind Gollakota, Udi Wieder, and Moises Goldszmidt. You can contact me at me at cpeale[at]stanford[dot]edu.

Papers [ google scholar ]

Representative Language Generation [ arxiv ]
with Vinod Raman, Omer Reingold, ICML 2025

When Does a Predictor Know its Own Loss? [ arxiv ]
with Aravind Gollakota, Parikshit Gopalan, Aayush Karan, Udi Wieder, FORC 2025

Provable Uncertainty Decomposition via Higher-Order Calibration [ arxiv ]
with Gustaf Ahdritz, Aravind Gollakota, Parikshit Gopalan, Udi Wieder, ICLR 2025 ⭐ Spotlight (top 5% of papers)

Multigroup Robustness [ arxiv ]
with Lunjia Hu, Judy Hanwen Shen, ICML 2024

Taking a Moment for Distributional Robustness [ arxiv ]
with Jabari Hastings, Christopher Jung, Vasilis Syrgkanis

Bidding Strategies for Proportional Representation in Advertisement Campaigns [ arxiv ]
with Inbal Livni Navon, Omer Reingold, Judy Hanwen Shen, FORC 2023

Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes [ arxiv ][ video ]
with Lunjia Hu, ITCS 2023 ⭐ Best Student Paper Award

Leximax Approximations and Representative Cohort Selection [ arxiv ]
with Monika Henzinger, Omer Reingold, Judy Hanwen Shen, FORC 2022

Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability [ arxiv ]
with Lunjia Hu, Omer Reingold, ALT 2022 ⭐ E.M. Gold Best Student Paper Award

Secure Complaint-Enabled Source-Tracking for Encrypted Messaging [ paper ]
with Saba Eskandarian, Dan Boneh, CCS 2021 ⭐ CURIS Outstanding Poster Award

Bounded-Leakage Differential Privacy [ paper ]
with Katrina Ligett, Omer Reingold, FORC 2020